Models / Gemini 4 Argon
Gemini 4 Argon
Gemini 4 Argon is best for writing and sticking to the facts; it is not on sale through OpenRouter, so it is here for reference.
Compared with the models available today (it is not on sale itself), in the top quarter (by percentile) for 4 of the 4 use cases measured, led by writing and sticking to the facts.
Results as of 8 October 2026, from 16 results on 2 sources; prices checked 8 Oct 2026.
- Price per million tokens
- Not available through OpenRouter
- Speed
- No speed yet
Artificial Analysis lists it but has not published a speed for it yet - Intelligence Index
- 52.6
Artificial Analysis, at high reasoning - Spring Prompt overall
- Not ranked yet
needs our benchmarks and two groups of results - Developer
- Google, based in the US
Weights not published - Released
- 30 Sep 2026 (Artificial Analysis)
Where it stands among the models you could choose
Ranked only among models available today (those you can call through OpenRouter), in the groups people choose between: the same price band, similar intelligence, the same speed, developers based in the same place. Retired models are left out.
| Among | Intelligence Index | Spring Prompt overall | Price, blended | Speed |
|---|---|---|---|---|
| Models available today | 5th of 199Claude Opus 5.5 | – | – | – |
| Models from developers based in the US | 5th of 95Claude Opus 5.5 | – | – | – |
The name under each rank is the leader of that group; green is the top quarter of the group and red the bottom quarter, by rank. Price is shown as a percentile: the share of the group that costs less, so lower is cheaper. "Sets this group" marks the measure the group is defined by. Spring Prompt overall is our score out of 100 across every source (how it works). Price is the developer's list price (or the typical OpenRouter host where we haven't read one) for three input tokens to one output; intelligence and speed are from Artificial Analysis (data sourced from Artificial Analysis); "similar intelligence" means within 4 points on its Intelligence Index. Developer locations are where each company is based, not where a model is served. Groups under 3 models are not ranked.
How good is it, and for what?
Each use case ranks the available models its benchmarks measured. The bar shows its percentile in that field, best to the right. Open a row for the results behind it.
Product listingsTurning a sparse product feed and photos into listings that can go live
- CatalogBench: has not measured this model.
Decks from an analysisTurning a finished analysis into a deck you could present as it is
- DeckBench: has not measured this model.
User surveysPlanning a user survey and reading its results without being misled
- SurveyBench: has not measured this model.
Marketing planningPlanning a year of ad spend without overspending
- ROASBench: has not measured this model.
Agents and tool useMulti-step tasks with tools: support desks, coding agents, function calls
| Benchmark | Gemini 4 Argon | Rank among available | Best available |
|---|---|---|---|
| Artificial AnalysisArtificial Analysis: Terminal-Bench 4.0 · reported | 57.1% | 4th of 106 | Claude Sonnet 5.5 63.6% |
- tau2-bench: pending. Its latest results are dated 26 May 2026, before this model was released.
- Berkeley Function Calling Leaderboard (BFCL) V4: pending. Its latest results are dated 16 Dec 2025, before this model was released.
- OpenHands Index: pending. Its latest results are dated 30 Jun 2026, before this model was released.
- Microsoft STATE-Bench: pending. Its latest results are dated 29 May 2026, before this model was released.
- Vending-Bench 2: has not measured this model.
Professional workReal tasks from banking, consulting and law, business documents and freelance projects
- APEX-Agents: has not measured this model.
- GDP.pdf: has not measured this model.
- Remote Labor Index: has not measured this model.
Reasoning and knowledgeHard questions across science, maths and general knowledge
| Benchmark | Gemini 4 Argon | Rank among available | Best available |
|---|---|---|---|
| Artificial AnalysisArtificial Analysis: Artificial Analysis Intelligence Index · reported | 52.6 | 5th of 199 | Claude Opus 5.5 57.6 |
| Artificial AnalysisArtificial Analysis: Humanity's Last Exam · reported | 57.1% | 3rd of 198 | Claude Opus 5.5 61.4% |
WritingWhat people prefer in blind comparisons, and judged writing quality
| Benchmark | Gemini 4 Argon | Rank among available | Best available |
|---|---|---|---|
| Arena (formerly LMArena)Arena Text: overall · reported | 1,525 | 1st of 167 | This model |
- UGI Leaderboard: has not measured this model.
Sticking to the factsSummarising without inventing things, and factual answers
| Benchmark | Gemini 4 Argon | Rank among available | Best available |
|---|---|---|---|
| Arena (formerly LMArena)Arena Text factuality: overall · reported | 1,511 | 1st of 114 | This model |
- Vectara Hallucination Leaderboard: pending. Its latest results are dated 22 Sep 2026, before this model was released.
- SimpleQA Verified (Epoch AI): pending. Its latest results are dated 29 Sep 2026, before this model was released.
Speed under pressureGood decisions against a real clock (fast chess)
- BulletBench: has not measured this model.
Nearest alternatives
- The most capable open-weights modelMiMo-V2.6-Pro$0.54 blended · Intelligence Index 46.3Compare with Gemini 4 Argon →
Against Gemini 4 Argon, Intelligence Index 52.6. "Similar intelligence" means within 4 points or better.
Against the alternatives
The models you would most likely weigh it against: the leaders of the groups above.
Scroll sideways to see every alternative.
| Gemini 4 Argon | Claude Opus 5.5 most intelligent available today | Gemini 3.8 Flash Google's best other model | GPT-6.1 Sol near the top overall | GPT-6 Astra near the top overall | |
|---|---|---|---|---|---|
| Price per million tokens | – | $8.00 | $3.00 | $4.00 | $20.00 |
| Tokens a second | – | 97 | 147 | 55 | 52 |
| Intelligence Index | 52.6 | 57.6 | 40.9 | 51.8 | 52.7 |
| Spring Prompt overall | – | 85 | 61 | 81 | 79 |
| Rank among available models, by use case | |||||
| Product listings | – | 6th | 12th | 2nd | 1st |
| Decks from an analysis | – | 5th | 12th | 3rd | 1st |
| User surveys | – | 2nd | – | 1st | – |
| Marketing planning | – | 5th | 7th | – | 1st |
| Agents and tool use | 3rd of 165 | 2nd | 32nd | 5th | 4th |
| Professional work | – | 3rd | 11th | 9th | 5th |
| Reasoning and knowledge | 3rd of 199 | 1st | 13th | 6th | 4th |
| Writing | 1st of 189 | 5th | 3rd | 16th | 20th |
| Sticking to the facts | 1st of 153 | 3rd | 13th | 19th | 27th |
| Speed under pressure | – | – | 6th | – | 14th |
| Side by side → | Side by side → | Side by side → | Side by side → | ||
Shaded figures are better than Gemini 4 Argon's. A dash means no result.
Where it has been measured
- Arena (formerly LMArena)11 results
- Artificial Analysis5 results
- Berkeley Function Calling Leaderboard (BFCL) V4Pending: latest results 16 Dec 2025
- Microsoft STATE-BenchPending: latest results 1 Jul 2026
- OpenHands IndexPending: latest results 30 Jun 2026
- SimpleQA Verified (Epoch AI)Pending: latest results 29 Sep 2026
- tau2-benchPending: latest results 3 Aug 2026
- Vectara Hallucination LeaderboardPending: latest results 22 Sep 2026
- BulletBenchNot measured
- CatalogBenchNot measured
- DeckBenchNot measured
- ROASBenchNot measured
- SurveyBenchNot measured
- APEX-AgentsNot measured
- GDP.pdfNot measured
- Remote Labor IndexNot measured
- UGI LeaderboardNot measured
- Vending-Bench 2Not measured
Every result
16 published results from 2 sources, each in the source's own units, with the configuration that produced it.
Arena (formerly LMArena) · reported by Arena (formerly LMArena) · 11 results
| Measure | Value | Rank | Configuration | Dated |
|---|---|---|---|---|
| Arena Agent: confirmed task successIPS effect estimate, higher is better | 0.15 0.12–0.18 |
3 of 50 | Gemini 4 Argon (high reasoning, arena agent) | 2 Oct 2026 |
| Arena Agent: praise over complaintIPS effect estimate, higher is better | 0.28 0.20–0.35 |
4 of 50 | Gemini 4 Argon (high reasoning, arena agent) | 2 Oct 2026 |
| Arena Agent: steerabilityIPS effect estimate, higher is better | 0.13 0.12–0.15 |
1 of 50 | Gemini 4 Argon (high reasoning, arena agent) | 2 Oct 2026 |
| Arena Agent: tool groundingIPS effect estimate, higher is better | 0.00 -0.00–0.00 |
31 of 50 | Gemini 4 Argon (high reasoning, arena agent) | 2 Oct 2026 |
| Arena Text factuality: overallArena rating, higher is better | 1,511 1,503–1,518 |
1 of 182 | Gemini 4 Argon (high reasoning) | 2 Oct 2026 |
| Arena Text: business, management and financeArena rating, higher is better | 1,522 1,502–1,543 |
1 of 406 | Gemini 4 Argon (high reasoning) | 2 Oct 2026 |
| Arena Text: creative writingArena rating, higher is better | 1,519 1,499–1,538 |
1 of 411 | Gemini 4 Argon (high reasoning) | 2 Oct 2026 |
| Arena Text: expert promptsArena rating, higher is better | 1,539 1,513–1,565 |
7 of 363 | Gemini 4 Argon (high reasoning) | 2 Oct 2026 |
| Arena Text: instruction followingArena rating, higher is better | 1,528 1,514–1,543 |
1 of 413 | Gemini 4 Argon (high reasoning) | 2 Oct 2026 |
| Arena Text: overallArena rating, higher is better | 1,525 1,516–1,534 |
1 of 413 | Gemini 4 Argon (high reasoning) | 2 Oct 2026 |
| Arena Text: writing, literature and languageArena rating, higher is better | 1,522 1,505–1,539 |
1 of 412 | Gemini 4 Argon (high reasoning) | 2 Oct 2026 |
Not shown: Not a success rate: the estimated effect of choosing this model as the agent's orchestrator, against an even mix of the models tested, inside Arena's own harness.
Artificial Analysis · reported by Artificial Analysis · 5 results
| Measure | Value | Rank | Configuration | Dated |
|---|---|---|---|---|
| Artificial Analysis: Artificial Analysis Intelligence Indexindex score, higher is better | 52.6 | 8 of 407 | Gemini 4 Argon (high reasoning) | 8 Oct 2026 |
| Artificial Analysis: Humanity's Last Exam% of questions, higher is better | 57.1% | 5 of 405 | Gemini 4 Argon (high reasoning) | 8 Oct 2026 |
| Artificial Analysis: Long-context reasoning (AA-LCR)% of questions, higher is better | 79.7% | 78 of 393 | Gemini 4 Argon (high reasoning) | 8 Oct 2026 |
| Artificial Analysis: SciCode% of problems, higher is better | 61.8% | 4 of 191 | Gemini 4 Argon (high reasoning) | 8 Oct 2026 |
| Artificial Analysis: Terminal-Bench 4.0% of tasks, higher is better | 57.1% | 6 of 187 | Gemini 4 Argon (high reasoning) | 8 Oct 2026 |
Not shown: Not business work, and a blend: read the parts for any one task.